Working on security in machine learning, focusing on finding and mitigating systematic vulnerabilities in machine learning and related topics.
Focusing on systematic vulnerabilities in unsupervised machine learning models, e.g., GAN, autoencoder, diffusion models and transformers.
Conditional GANs against DNS based unsupervised detection of malicious domains: link
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review: link
